Volume 44 Issue 4
Apr.  2023
Turn off MathJax
Article Contents
WEN Guangquan, JI Xiaogang, DUAN Yushun, DENG Lin. A Prediction Model for Skin Wound Suture Forces With Uncertain Material Parameters[J]. Applied Mathematics and Mechanics, 2023, 44(4): 441-449. doi: 10.21656/1000-0887.430067
Citation: WEN Guangquan, JI Xiaogang, DUAN Yushun, DENG Lin. A Prediction Model for Skin Wound Suture Forces With Uncertain Material Parameters[J]. Applied Mathematics and Mechanics, 2023, 44(4): 441-449. doi: 10.21656/1000-0887.430067

A Prediction Model for Skin Wound Suture Forces With Uncertain Material Parameters

doi: 10.21656/1000-0887.430067
  • Received Date: 2022-03-03
  • Rev Recd Date: 2022-06-05
  • Publish Date: 2023-04-01
  • To evaluate the forces required for the suture of skin wounds quickly and effectively, the nonlinear finite element method was used to calculate the suture forces for skin wounds with different sizes and material parameters. With the calculated results as samples, the prediction model for skin wound suture forces was constructed by means of the EBF neural network model. Given the uncertain skin material parameters influencing the reliability of numerical results, the Monte-Carlo method was used to analyze the uncertainty propagation of skin material parameters. Finally, the prediction analysis and measuring experiment of wound suture forces were carried out with pig skin specimens to verify the reliability of the method. The results showed that, the suture force increases first and then decreases according to the suture point sequence, and the peak force occurs before the center of the wound. For a 40 mm×10 mm wound, the peak suture force is about 1.7 N, and that for a 40 mm×14 mm wound is about 2.5 N. Influenced by the uncertainty of material parameters, the prediction results of suture forces fluctuate by as much as ±0.6 N. The proposed theoretical prediction model provides an effective solution to the problem of parameter uncertainty propagation for biological soft tissue materials such as skins, and makes an important mechanical reference for robotic surgical suture.
  • loading
  • [1]
    付宜利, 潘博. 微创外科手术机器人技术研究进展[J]. 哈尔滨工业大学学报, 2019, 51(1): 1-15. https://www.cnki.com.cn/Article/CJFDTOTAL-HEBX201901001.htm

    FU Yili, PAN Bo. Research progress of surgical robot for minimally invasive surgery[J]. Journal of Harbin Institute of Technology, 2019, 51(1): 1-15. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HEBX201901001.htm
    REILEY C E, AKINBIYI T, BURSCHKA D, et al. Effects of visual force feedback on robot-assisted surgical task performance[J]. Journal of Thoracic and Cardiovascular Surgery, 2008, 135(1): 196-201. doi: 10.1016/j.jtcvs.2007.08.043
    JUNG W J, KWAK K S, LIM S C. Vision-based suture tensile force estimation in robotic surgery[J]. Sensors, 2020, 21(1): 110. doi: 10.3390/s21010110
    PISSARENKO A, MEYERS M A. The materials science of skin: analysis, characterization, and modeling[J]. Progress in Materials Science, 2020, 110: 100634. doi: 10.1016/j.pmatsci.2019.100634
    CAPEK L, JACQUET E, DZAN L, et al. The analysis of forces needed for the suturing of elliptical skin wounds[J]. Medical & Biological Engineering & Computing, 2012, 50(2): 193-198.
    龚博, 林骥, 王彦中, 等. 细胞骨架与细胞外基质的力学建模与分析[J]. 应用数学和力学, 2021, 42(10): 1024-1044. doi: 10.21656/1000-0887.420302

    GONG Bo, LIN Ji, WANG Yanzhong, et al. Mechanical modeling and analyses of cytoskeleton and extracellular matrix[J]. Applied Mathematics and Mechanics, 2021, 42(10): 1024-1044. (in Chinese) doi: 10.21656/1000-0887.420302
    周磊, 王世斌, 李林安, 等. 皮肤力学的研究进展[J]. 实验力学, 2020, 35(6): 955-969. https://www.cnki.com.cn/Article/CJFDTOTAL-SYLX202006001.htm

    ZHOU Lei, WANG Shibin, LI Linan, et al. Advances in skin mechanics[J]. Journal of Experimental Mechanics, 2020, 35(6): 955-969. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SYLX202006001.htm
    HOLZAPFEL G A, GASSER T C, OGDEN R W. A new constitutive framework for arterial wall mechanics and a comparative study of material models[J]. Journal of Elasticity & the Physical Science of Solids, 2000, 61(1/3): 1-48.
    GASSER T C, OGDEN R W, HOLZAPFEL G A. Hyperelastic modelling of arterial layers with distributed collagen fibre orientations[J]. Journal of the Royal Society Interface, 2006, 3(6): 15-35. doi: 10.1098/rsif.2005.0073
    TONGE T K, VOO L M, NGUYEN T D. Full-field bulge test for planar anisotropic tissues, part Ⅱ: a thin shell method for determining material parameters and comparison of two distributed fiber modeling approaches[J]. Acta Biomaterialia, 2012, 9(4): 5926-5942.
    PINAR A. Recent progress of uncertainty quantification in small-scale materials science[J]. Progress in Materials Science, 2020, 117: 100723.
    陈鑫, 王刚, 叶正寅, 等. CFD不确定度量化方法研究综述[J]. 空气动力学学报, 2021, 39(4): 1-13. https://www.cnki.com.cn/Article/CJFDTOTAL-KQDX202104001.htm

    CHEN Xin, WANG Gang, YE Zhengyin, et al. A review of uncertainty quantification methods for computational fluid dynamics[J]. Acta Aerodynamica Sinica, 2021, 39(4): 1-13. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KQDX202104001.htm
    FISHMAN G. Monte Carlo: Concepts, Algorithms and Applications[M]. New York: Springer, 1996.
    毛凤山, 陈昌富, 朱世民. 代理模型方法及其在岩土工程中的应用综述[J]. 地基处理, 2020, 31(4): 295-306. https://www.cnki.com.cn/Article/CJFDTOTAL-DJCL202004008.htm

    MAO Fengshan, CHEN Changfu, ZHU Shimin. Surrogate model method and its application in geotechnical engineering[J]. Journal of Ground Improvement, 2020, 31(4): 295-306. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DJCL202004008.htm
    陈浩, 林震, 刘成诚, 等. 基于直接模拟蒙特卡洛方法的真空羽流不确定量化研究[J]. 推进技术, 2020, 41(1): 73-84. https://www.cnki.com.cn/Article/CJFDTOTAL-TJJS202001008.htm

    CHEN Hao, LIN Zhen, LIU Chengcheng, et al. Uncertainty quantification of vacuum plume simulations using direct simulation Monte Carlo method[J]. Journal of Propulsion Technology, 2020, 41(1): 73-84. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJJS202001008.htm
    李久辉, 卢文喜, 常振波, 等. 考虑参数不确定性的地下水污染源识别[J]. 中国环境科学, 2021, 41(4): 1711-1722. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHJ202104029.htm

    LI Jiuhui, LU Wenxi, CHANG Zhenbo, et al. Identification of groundwater contamination sources considering parameter uncertainty[J]. China Environmental Science, 2021, 41(4): 1711-1722. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHJ202104029.htm
    赵翔, 茹东恒, 王鹏, 等. 基于NARX神经网络方法的汽轮机转子关键部位应力预测[J]. 应用数学和力学, 2021, 42(8): 771-784. doi: 10.21656/1000-0887.410372

    ZHAO Xiang, RU Dongheng, WANG Peng, et al. On the stress prediction of key components in steam turbine rotors based on the NARX neural network[J]. Applied Mathematics and Mechanics, 2021, 42(8): 771-784. (in Chinese) doi: 10.21656/1000-0887.410372
    周杰, 赵婷婷, 陈青青, 等基于GoogLeNet的混凝土细观模型应力-应变曲线预测[J]. 应用数学和力学, 2022, 43(3): 290-299. doi: 10.21656/1000-0887.420136

    ZHOU Jie, ZHAO Tingting, CHEN Qingqing, et al. Prediction of concrete meso-model stress-strain curves based on GoogLeNet[J]. Applied Mathematics and Mechanics, 2022, 43(3): 290-299. (in Chinese) doi: 10.21656/1000-0887.420136
    BENITEZ, J M, MONTANS, F J. The mechanical behavior of skin: structures and models for the finite element analysis[J]. Computers & Structures, 2017, 190: 75-107.
    ANNAIDH A N, BRUYERE K, DESTRADE M. Automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin[J]. Annals of Biomedical Engineering, 2012, 40(8): 1666-1678.
    SULLIVAN T P, EAGLSTEIN W H, DAVIS S C, et al. The pig as model for human wound healing[J]. Wound Repair and Regeneration, 2001, 9(2): 66-76.
    王楠, 罗岚, 刘勇, 等. 金属构件残余应力测量技术进展[J]. 仪器仪表学报, 2017, 38(10): 2508-2517. https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201710020.htm

    WANG Nan, LUO Lan, LIU Yong, et al. Research progress on stress measurement technology for metal components[J]. Chinese Journal of Scientific Instrument, 2017, 38(10): 2508-2517. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201710020.htm
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(11)  / Tables(1)

    Article Metrics

    Article views (62) PDF downloads(30) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint